Life Sciences Clinical Trial Recruitment

De-risk and accelerate patient recruitment for clinical trials

Gain visibility into AI-matched, eligible patients at real sites in real time early in trial planning and continuously through recruitment and RWE generation.

Our platform gives you access to the industry’s deepest source of real-time electronic medical record (EMR) data. With our proprietary artificial intelligence (AI) and natural language processing (NLP), you can query entire EMRs, including coded data, clinician notes, omics, labs, and pathology reports, to build precise patient cohorts and find better patient matches for trials. Then, turn data into action by sharing your matches with 1K+ active research facilities in our ecosystem, allowing site staff to quickly identify, validate, and enroll patients.

Deeper, real-time EMR data. Direct access to sites.

Participate in an ecosystem of 1K+ high-performance AMCs and community sites

Get EMR data faster with access to real-time feeds from an established ecosystem of research sites already using our platform, including 18 academic medical centers (AMCs), 11 NCI-Designated Cancer Centers, and 3 NCI Community Oncology Research Programs (NCORPs).

Query the industry’s deepest source of EMR data using AI and NLP

Build more precise patient cohorts and identify patients for trials faster by digging deeper into the EMR with AI & NLP—access 80% more data from unstructured clinician notes and reports.

Collaborate with IRB-approved researchers via a shared platform

Accelerate patient recruitment for clinical trials and reduce site burden by delivering a screen-ready, precision-matched patient list to IRB-approved staff so they can identify, validate, and enroll patients faster.

Precisely find the patient population for your trial and reduce site burden

Identify patients for your trial faster and more precisely. The Recruitment Acceleration solution uses AI to match patients to trials at real sites in real time.

Maximize the number of enrolled patients and simplify the screening process for your sites by sharing screen-ready lists of AI-identified patients with IRB-approved site staff across our ecosystem of 1K+ research facilities. 

Widen the catchment area for recruitment by mining EMR data across entire health system networks. And, allow health care providers to identify patients that meet the inclusion and exclusion criteria for in-network clinical trials and refer them to a trial PI via the Deep 6 AI software.Gain insights into recruitment progress from the Deep 6 AI clinical team that works closely with site navigators. Diagnose issues at active sites early and ongoing to maximize enrolled patients.

Learn how we can help you with your recruitment efforts:

  • Connect more patients with trials
  • Simplify site collaboration
  • Speed up recruitment timelines
  • Maximize enrolled patients via physician referrals
  • Gain visibility into recruitment progress at sites

Recruitment Acceleration solution

Unlock deep clinical insights for RWE using AI

Improve the precision and speed of your RWE project with next-generation real-world data (RWD). The RWE Generation solution uses AI to mine EMR data to precisely identify qualified patient charts for trial sponsors to accelerate chart review and build more robust cohorts for prospective monitoring, registries, and RWE studies. We provide trial sponsors with curated data sets with real-time clinical data and the ability to continuously collect endpoint data from the deep within the EMR. With Deep 6 AI, at any point, qualified patients can be re-identified by IRB-approved researchers at the healthcare organization.

Learn how we can help you with:

  • Chart review
  • Prospective monitoring & registries
  • RWE studies

RWE Generation solution

How AI is changing cancer research

As AI-driven patient recruitment becomes the norm at oncology research sites nationwide, the question arises: what role do sites want pharmaceutical companies to play in helping meet recruitment goals?

Watch this webinar on demand to hear from Robert Stillman, MA, RN, CPHIMS, FHIMSS, Director, Clinical Research Informatics at The Ohio State University and Jesica Freeman, Senior Vice President, Product Management at Deep 6 AI as they discuss:

  • how to improve protocol design, optimize inclusion and exclusion criteria, and feasibility to avoid downstream recruitment issues  at the site
  • how sites determine enrollment after getting a list of AI-matched patients
  • how sites are managing AI technologies and upskilling clinical research coordinators (CRCs) to meet recruitment goals

Watch on demand

Start using AI to de-risk and accelerate your research today